A method and system for intelligent monitoring and early warning of power information communication status

Abstract

The present invention relates to the field of electric power monitoring technology, and specifically discloses an intelligent monitoring and early warning method and system for electric power information communication conditions, the method comprising periodically acquiring the operating data of electric power equipment and the electrical connection relationship between each electric power equipment, establishing a data transmission diagram; determining the transmission characteristics of each electric power equipment based on the data transmission diagram; identifying the newly generated data transmission diagram according to the transmission characteristics, and judging whether there is an abnormal device; when there is an abnormal device, querying the operating data of the abnormal device, identifying the operating data, and generating early warning information according to the identification result. The present invention acquires the operating data of each electric power equipment, establishes a data transmission diagram according to the operating data, extracts features in the data transmission diagram by referring to the existing image processing algorithm, identifies the newly generated data transmission diagram according to the features, quickly identifies all electric power equipment in the entire area, and locates the abnormal equipment, with extremely high efficiency.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power monitoring, and in particular to an intelligent monitoring and early warning method and system for electric power information communication conditions. Background Art

[0002] Power informatization refers to the process of applying information technologies such as communications, automatic control, computers, networks, and sensors, combined with corporate management concepts, to drive the transformation of the old traditional power industry into a highly knowledge- and technology-intensive industry, providing support and leading the transformation for the stable operation of power companies' production and improved management levels.

[0003] In the electric power information system, a large number of devices are involved, and the number of modules in these devices is also very large. The data generated during the working process is extremely complex and difficult to identify. A large amount of identification resources are required to ensure the real-time and accuracy of data monitoring. How to improve and optimize the data monitoring architecture is the technical problem that the technical solution of the present invention wants to solve. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for intelligent monitoring and early warning of power information communication status to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A method for intelligent monitoring and early warning of power information communication conditions, the method comprising:

[0007] Regularly obtain the operating data of power equipment and the electrical connection relationship between various power equipment, and establish a data transmission diagram;

[0008] Arrange the data transmission graph according to time, and intercept the arranged data transmission graph according to the period input by the user;

[0009] Determine the transmission characteristics of each power device according to the intercepted data transmission diagram;

[0010] Identify the newly generated data transmission graph according to the transmission characteristics to determine whether there is an abnormal device;

[0011] When there is an abnormal device, query the operating data of the abnormal device, identify the operating data, and generate early warning information based on the identification results;

[0012] The operating data is a collection of operating data of each module in the power equipment.

[0013] As a further solution of the present invention: the step of regularly acquiring the operation data of the power equipment and the electrical connection relationship between the power equipment and establishing the data transmission diagram includes:

[0014] Obtaining the unit energy consumption of each electric device at regular intervals, and determining the size of the data area according to the unit energy consumption;

[0015] Acquire the electrical connection relationship between each electrical device, and determine the data point in a preset blank map according to the electrical connection relationship;

[0016] Create a data area in a blank graph based on the data points and data area size;

[0017] The data areas are arranged according to the electrical connection relationship to obtain a data transmission diagram.

[0018] As a further solution of the present invention: the step of establishing the data area in the blank graph according to the data points and the data area size comprises:

[0019] Create a blank map, and determine the mapping range in the blank map according to the data points and data area size;

[0020] Query the modules containing data transmission processes in the power equipment, obtain the location information of each module, and divide the mapping range according to the location information;

[0021] Acquire the operation data of each module, input the operation data into a preset numerical integration model, and obtain a mapping matrix; the number of rows and columns of the mapping matrix is ​​a preset value;

[0022] The mapping matrix is ​​filled to the corresponding position within the mapping range to obtain a data area.

[0023] As a further solution of the present invention: the step of arranging the data transmission graph according to time and intercepting the arranged data transmission graph according to the period input by the user comprises:

[0024] Arrange the data transmission graph according to time to obtain a graph sequence;

[0025] receiving a period input by a user, clustering the graph sequence based on the period, obtaining a subsequence containing a time period label and displaying the subsequence;

[0026] The selection information input by the user is received, and the subsequence is read according to the selection information as the interception result.

[0027] As a further solution of the present invention: the step of determining the transmission characteristics of each power device according to the intercepted data transmission diagram includes:

[0028] Calculate the mean of each data area in the data transmission diagram according to a preset numerical calculation formula to obtain a mean matrix;

[0029] Calculating the change rate of each element in the adjacent mean matrix in turn, and clustering each element in the mean matrix according to the change rate;

[0030] Obtaining data areas corresponding to similar elements in the data transmission diagram, inputting the obtained data areas into a preset feature extraction model, and obtaining transmission characteristics of the power equipment;

[0031] The transmission feature is a range matrix, and the elements in the range matrix are numerical ranges.

[0032] As a further solution of the present invention: the step of identifying the newly generated data transmission graph according to the transmission characteristics and determining whether there is an abnormal device includes:

[0033] Read the newly generated data transmission graph, and query the target area corresponding to the transmission feature in the newly generated data transmission graph;

[0034] Calculate the number of abnormal points and their abnormal values ​​in the target area based on the transmission characteristics; the abnormal points are points whose values ​​exceed the numerical range;

[0035] Input the number of abnormal points and their abnormal values ​​into a preset linear formula to calculate the abnormality score;

[0036] The abnormal score is compared with a preset abnormal threshold, and when the abnormal score reaches the preset abnormal threshold, the power equipment corresponding to the moment is marked as an abnormal equipment.

[0037] As a further solution of the present invention: when there is an abnormal device, the steps of querying the operating data of the abnormal device, identifying the operating data, and generating early warning information according to the identification result include:

[0038] When there is an abnormal device, query the operating data of each module in the abnormal device according to the time;

[0039] Input the operating data into the trained simulation model, locate the abnormal module and obtain the abnormal cause, and generate warning information;

[0040] When an error occurs during the operation of the simulation model, the operation data is packaged and sent to the manual detection end, and the recognition data fed back by the manual detection end is received.

[0041] The technical solution of the present invention also provides an intelligent monitoring and early warning system for power information communication conditions, the system comprising:

[0042] A transmission diagram establishment module is used to periodically obtain the operation data of the power equipment and the electrical connection relationship between each power equipment, and establish a data transmission diagram;

[0043] A transmission graph interception module is used to arrange the data transmission graph according to time and intercept the arranged data transmission graph according to the period input by the user;

[0044] A transmission characteristic determination module, used to determine the transmission characteristics of each power device according to the intercepted data transmission diagram;

[0045] An abnormality determination module, used to identify the newly generated data transmission graph according to the transmission characteristics and determine whether there is an abnormal device;

[0046] The warning information generation module is used to query the operation data of the abnormal equipment when there is an abnormal equipment, identify the operation data, and generate warning information according to the identification result;

[0047] The operating data is a collection of operating data of each module in the power equipment.

[0048] As a further solution of the present invention: the transmission graph establishment module includes:

[0049] A size determination unit, used for periodically acquiring the unit energy consumption of each electric device, and determining the size of the data area according to the unit energy consumption;

[0050] A data point determination unit, used to obtain the electrical connection relationship between various electrical devices, and determine the data point in a preset blank map according to the electrical connection relationship;

[0051] A data area establishment unit, used for establishing a data area in a blank graph according to data points and a data area size;

[0052] The data area arrangement unit is used to arrange the data areas according to the electrical connection relationship to obtain a data transmission diagram.

[0053] As a further solution of the present invention: the transmission graph interception module includes:

[0054] A graph sequence generating unit, used for arranging the data transmission graph according to time to obtain a graph sequence;

[0055] A period clustering unit, used for receiving a period input by a user, clustering the graph sequence based on the period, obtaining a subsequence containing a time period label and displaying the subsequence;

[0056] The sequence selection unit is used to receive selection information input by a user and read a subsequence according to the selection information as a capture result.

[0057] Compared with the prior art, the beneficial effects of the present invention are: the present invention obtains the operating data of each power equipment, establishes a data transmission diagram according to the operating data, extracts features in the data transmission diagram by referring to the existing image processing algorithm, identifies the newly generated data transmission diagram according to the features, quickly identifies all power equipment in the entire area, and locates abnormal equipment; then, further analyzes the abnormal equipment; the monitoring algorithm has a large number of references and the monitoring efficiency is high. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention.

[0059] Figure 1 The figure is a flowchart of the intelligent monitoring and early warning method for power information communication status.

[0060] Figure 2 This is a flowchart of the first sub-process of the method for intelligent monitoring and early warning of power information and communication conditions.

[0061] Figure 3 This is a block diagram of the second sub-process of the method for intelligent monitoring and early warning of power information and communication conditions.

[0062] Figure 4 This is the third sub-process flowchart of the intelligent monitoring and early warning method for power information communication conditions.

[0063] Figure 5 This is the fourth sub-process flowchart of the method for intelligent monitoring and early warning of power information and communication conditions.

[0064] Figure 6 This is the fifth sub-process flowchart of the method for intelligent monitoring and early warning of power information and communication conditions.

[0065] Figure 7 This is a structural block diagram of the intelligent monitoring and early warning system for power information and communication conditions. DETAILED DESCRIPTION

[0066] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0067] Example 1

[0068] Figure 1 The flowchart of the method for intelligent monitoring and early warning of power information communication status is as follows. In an embodiment of the present invention, a method for intelligent monitoring and early warning of power information communication status includes:

[0069] Step S100: regularly acquiring the operation data of the power equipment and the electrical connection relationship between the various power equipment, and establishing a data transmission diagram;

[0070] In a monitored area, multiple power devices are provided, each of which has its own operating data, which is a collection of operating data of all modules in the power device; there is a connection relationship between different power devices, which can be a physical power connection relationship or a data connection relationship at the software level.

[0071] Step S200: Arrange the data transmission graph according to time, and intercept the arranged data transmission graph according to the period input by the user;

[0072] The data transmission graph at each moment is obtained according to the preset frequency, and the data transmission graph is classified according to the period input by the user. The period is generally in days, that is, 0:00 to 23:59 of each day is regarded as a period; the data transmission graphs within a period are classified into one category.

[0073] Step S300: determining the transmission characteristics of each power device according to the intercepted data transmission diagram;

[0074] The data transmission diagram reflects the operating status of the power equipment in the entire monitoring area. By analyzing the data transmission diagram, some two-dimensional features, called transmission features, can be extracted. The process of analyzing the data transmission diagram can draw on existing image processing technology, which has many selectivities and fast recognition speed.

[0075] Step S400: Identify the newly generated data transmission graph according to the transmission characteristics to determine whether there is an abnormal device;

[0076] When a new data transmission graph is generated, the newly generated data transmission graph is identified according to the transmission characteristics, so that it can be quickly and efficiently determined whether there are some abnormal power equipment at the latest moment.

[0077] Step S500: when there is an abnormal device, query the operation data of the abnormal device, identify the operation data, and generate warning information according to the identification result;

[0078] When an abnormal device exists, the operation data of each module in the abnormal device is further read, and these data are stored in the database of the abnormal device (there is a regular deletion algorithm to prevent the amount of data from being too large).

[0079] The abnormal equipment can be further analyzed based on the operating data of each module.

[0080] Figure 2 This is a first sub-process flowchart of the method for intelligent monitoring and early warning of power information communication status. The steps of regularly acquiring the operating data of power equipment and the electrical connection relationship between each power equipment and establishing a data transmission diagram include:

[0081] Step S101: regularly obtaining the unit energy consumption of each power device, and determining the size of the data area according to the unit energy consumption;

[0082] The data transmission volume of power equipment is roughly proportional to the unit energy consumption. The larger the equipment, the greater the energy consumption. The number of internal modules is likely to be higher and the data transmission volume is greater. Therefore, the area in the data transmission diagram accounts for a larger proportion. The unit energy consumption represents the energy consumption rate.

[0083] Step S102: obtaining the electrical connection relationship between the various electrical devices, and determining data points in a preset blank map according to the electrical connection relationship;

[0084] Acquire the electrical connection relationship between the power devices, and determine the position of the power devices in the data transmission diagram according to the electrical connection relationship;

[0085] Step S103: creating a data area in the blank graph according to the data points and the data area size;

[0086] The area is determined in the data transmission diagram by the position and area size, and the value of each point in the area is determined to reflect the operation data.

[0087] Step S104: Arranging the data areas according to the electrical connection relationship to obtain a data transmission diagram;

[0088] By arranging the data areas, you can get a data transfer diagram.

[0089] As a preferred embodiment of the technical solution of the present invention, the step of establishing a data area in a blank image according to data points and data area size comprises:

[0090] Create a blank map, and determine the mapping range in the blank map according to the data points and data area size;

[0091] Query the modules containing data transmission processes in the power equipment, obtain the location information of each module, and divide the mapping range according to the location information;

[0092] Acquire the operation data of each module, input the operation data into a preset numerical integration model, and obtain a mapping matrix; the number of rows and columns of the mapping matrix is ​​a preset value;

[0093] The mapping matrix is ​​filled to the corresponding position within the mapping range to obtain a data area.

[0094] In an example of the technical solution of the present invention, the filling process of the data area is defined. First, a blank map is established. Then, a range is determined in the blank map by the data points and the size of the data area. Then, according to the position of the module corresponding to the power equipment, the small range corresponding to each module is determined in the range. Finally, according to the preset numerical integration model, the operating data is converted into partial values ​​and filled into the corresponding small range to obtain the data area.

[0095] Figure 3 This is a second sub-process flowchart of the method for intelligent monitoring and early warning of power information communication conditions, wherein the steps of arranging the data transmission graph according to time and intercepting the arranged data transmission graph according to the cycle input by the user include:

[0096] Step S201: Arrange the data transmission graph according to time to obtain a graph sequence;

[0097] Step S202: receiving a period input by a user, clustering the graph sequence based on the period, obtaining a subsequence containing a time period label and displaying the subsequence;

[0098] Step S203: receiving selection information input by the user, and reading a subsequence according to the selection information as an interception result.

[0099] The process from step S201 to step S203 is very simple. The graph sequence is segmented according to the user's cycle, and then some subsequences are selected according to the user's selection information to obtain several subsequences for extracting transmission features.

[0100] Figure 4 The third sub-flow chart of the method for intelligent monitoring and early warning of power information communication status is as follows: the step of determining the transmission characteristics of each power device according to the intercepted data transmission diagram includes:

[0101] Step S301: Calculate the mean of each data area in the data transmission graph according to a preset numerical calculation formula to obtain a mean matrix;

[0102] The mean value of each point data in each data area is calculated respectively to represent the data area; the mean matrix corresponding to the data transmission diagram is obtained from the mean value of the data area.

[0103] Step S302: calculating the change rate of each element in the adjacent mean matrix in sequence, and clustering each element in the mean matrix according to the change rate;

[0104] The change rate of each element in the adjacent mean matrix is ​​calculated in turn. This change rate represents the degree of change in each data area and also reflects the data fluctuation of each power device. According to the change rate, it is judged whether each element has synchronous fluctuation. If the change rates of some elements are synchronized, the corresponding power devices are regarded as one category. The synchronization requirements are not high, and only need to increase and decrease at the same time.

[0105] Step S303: obtaining data areas corresponding to similar elements in the data transmission diagram, inputting the obtained data areas into a preset feature extraction model, and obtaining transmission characteristics of the power equipment; the transmission characteristics are range matrices, and the elements in the range matrix are value ranges;

[0106] The data areas corresponding to the same type of elements are analyzed to obtain the range of each point value in the data area within a cycle, and a range matrix is ​​obtained. The range matrix can be regarded as a transmission feature.

[0107] Figure 5 The fourth sub-flow chart of the method for intelligent monitoring and early warning of power information communication status is as follows: the step of identifying the newly generated data transmission graph according to the transmission characteristics and judging whether there is an abnormal device includes:

[0108] Step S401: reading a newly generated data transmission graph, and searching the newly generated data transmission graph for a target area corresponding to the transmission feature;

[0109] When new operation data is acquired, a new data transmission graph is created; the region corresponding to the transmission feature is searched in the newly generated data transmission graph, which is called the target region.

[0110] Step S402: Calculate the number of abnormal points and their abnormal values ​​in the target area based on the transmission characteristics; the abnormal points are points whose values ​​exceed the numerical range;

[0111] It is determined whether there is an abnormality in the value in the target area according to the value range in the transmission feature. The existence of an abnormality means that the value exceeds the value range; the abnormal value is determined by the excess amplitude.

[0112] Step S403: input the number of abnormal points and their abnormal values ​​into a preset linear formula to calculate the abnormality score;

[0113] The number of abnormal points and the abnormal value are input into a preset linear formula, and an abnormal score is determined by the two parameters to reflect the abnormal situation of the new data transmission graph.

[0114] Step S404: compare the abnormal score with a preset abnormal threshold, and when the abnormal score reaches the preset abnormal threshold, mark the power equipment corresponding to the moment as abnormal equipment.

[0115] Figure 6 The fifth sub-flow chart of the method for intelligent monitoring and early warning of power information communication status is as follows: when there is an abnormal device, querying the operation data of the abnormal device, identifying the operation data, and generating early warning information according to the identification result includes:

[0116] Step S501: when there is an abnormal device, query the operation data of each module in the abnormal device according to the time;

[0117] Step S502: input the operation data into the trained simulation model, locate the abnormal module and obtain the abnormal cause, and generate warning information;

[0118] Step S503: When an error occurs during operation of the simulation model, the operation data is packaged and sent to the manual detection end, and the recognition data fed back by the manual detection end is received.

[0119] In one example of the technical solution of the present invention, when an abnormal device exists, it is necessary to further obtain the operating data of each module in the device, and input the operating data into a simulation model corresponding to the device, so as to determine which modules have problems and generate early warning information.

[0120] If the simulation model runs into an error, that is, the simulation model cannot determine which modules in the abnormal device have problems, then the operation data will be packaged and sent to the manual detection end to manually identify the abnormal device.

[0121] Example 2

[0122] Figure 7 1 is a structural block diagram of a power information communication status intelligent monitoring and early warning system. In an embodiment of the present invention, a power information communication status intelligent monitoring and early warning system, the system 10 includes:

[0123] The transmission diagram establishment module 11 is used to periodically obtain the operation data of the power equipment and the electrical connection relationship between each power equipment, and establish a data transmission diagram;

[0124] The transmission graph interception module 12 is used to arrange the data transmission graph according to time, and intercept the arranged data transmission graph according to the period input by the user;

[0125] A transmission characteristic determination module 13, used to determine the transmission characteristics of each power device according to the intercepted data transmission diagram;

[0126] An abnormality determination module 14 is used to identify the newly generated data transmission graph according to the transmission characteristics and determine whether there is an abnormal device;

[0127] The warning information generating module 15 is used to query the operation data of the abnormal equipment when there is an abnormal equipment, identify the operation data, and generate warning information according to the identification result;

[0128] The operating data is a collection of operating data of each module in the power equipment.

[0129] The transmission graph establishing module 11 comprises:

[0130] A size determination unit, used for periodically acquiring the unit energy consumption of each electric device, and determining the size of the data area according to the unit energy consumption;

[0131] A data point determination unit, used to obtain the electrical connection relationship between various electrical devices, and determine the data point in a preset blank map according to the electrical connection relationship;

[0132] A data area establishment unit, used for establishing a data area in a blank graph according to data points and a data area size;

[0133] The data area arrangement unit is used to arrange the data areas according to the electrical connection relationship to obtain a data transmission diagram.

[0134] The transmission graph interception module 12 includes:

[0135] A graph sequence generating unit, used for arranging the data transmission graph according to time to obtain a graph sequence;

[0136] A period clustering unit, used for receiving a period input by a user, clustering the graph sequence based on the period, obtaining a subsequence containing a time period label and displaying the subsequence;

[0137] The sequence selection unit is used to receive selection information input by a user and read a subsequence according to the selection information as a capture result.

[0138] The functions that can be achieved by the intelligent monitoring and early warning method for power information communication conditions are all completed by a computer device. The computer device includes one or more processors and one or more memories. The one or more memories store at least one program code. The program code is loaded and executed by the one or more processors to achieve the functions of the intelligent monitoring and early warning method for power information communication conditions.

[0139] The processor takes out instructions from the memory one by one, analyzes the instructions, and then completes the corresponding operations according to the instruction requirements, generating a series of control commands, so that the various parts of the computer can automatically, continuously and coordinately move to become an organic whole, realize the input of programs, the input of data, and the calculation and output of results. The arithmetic operations or logical operations generated in this process are all completed by the operator; the memory includes a read-only memory (ROM), which is used to store computer programs, and a protection device is provided outside the memory.

[0140] Exemplarily, the computer program may be divided into one or more modules, one or more modules are stored in a memory and executed by a processor to implement the present invention. One or more modules may be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program in a terminal device.

[0141] Those skilled in the art will understand that the description of the above service equipment is merely an example and does not constitute a limitation on the terminal equipment. It may include more or fewer components than described above, or a combination of certain components, or different components, for example, it may include input and output devices, network access devices, buses, etc.

[0142] The processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, and uses various interfaces and lines to connect various parts of the entire user terminal.

[0143] The memory can be used to store computer programs and / or modules. The processor can realize various functions of the terminal device by running or executing the computer programs and / or modules stored in the memory and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as an information collection template display function, a product information release function, etc.); the data storage area can store data created according to the use of the berth status display system (such as product information collection templates corresponding to different product types, product information that different product providers need to release, etc.). In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0144] If the module / unit integrated in the terminal device is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the modules / units in the above-mentioned embodiment system, and can also be completed by instructing the relevant hardware through a computer program. The above-mentioned computer program can be stored in a computer-readable storage medium, and the computer program can realize the functions of the above-mentioned various system embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. Computer-readable media may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0145] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0146] The above are only preferred embodiments of the present invention, and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for intelligent monitoring and early warning of power information communication conditions, characterized in that: The method comprises: Regularly obtain the operating data of power equipment and the electrical connection relationship between various power equipment, and establish a data transmission diagram; Arrange the data transmission graph according to time, and intercept the arranged data transmission graph according to the period input by the user; Determine the transmission characteristics of each power device according to the intercepted data transmission diagram; Identify the newly generated data transmission graph according to the transmission characteristics to determine whether there is an abnormal device; When there is an abnormal device, query the operating data of the abnormal device, identify the operating data, and generate warning information based on the identification results; Wherein, the operation data is a collection of operation data of each module in the power equipment; The step of regularly acquiring the operation data of the power equipment and the electrical connection relationship between the power equipment and establishing a data transmission diagram comprises: Obtaining the unit energy consumption of each electric device at regular intervals, and determining the size of the data area according to the unit energy consumption; Acquire the electrical connection relationship between each electrical device, and determine the data point in a preset blank map according to the electrical connection relationship; Create a data area in a blank graph based on the data points and data area size; Arrange the data areas according to the electrical connection relationship to obtain a data transmission diagram; The step of establishing a data area in a blank graph according to the data points and the data area size comprises: Create a blank map, and determine the mapping range in the blank map according to the data points and data area size; Query the modules containing data transmission processes in the power equipment, obtain the location information of each module, and divide the mapping range according to the location information; Acquire the operation data of each module, input the operation data into a preset numerical integration model, and obtain a mapping matrix; the number of rows and columns of the mapping matrix is ​​a preset value; The mapping matrix is ​​filled to the corresponding position within the mapping range to obtain a data area.

2. The method for intelligent monitoring and early warning of electric power information communication status according to claim 1 is characterized in that: The step of arranging the data transmission graph according to time and intercepting the arranged data transmission graph according to the period input by the user comprises: Arrange the data transmission graph according to time to obtain a graph sequence; Receive a period input by a user, cluster the graph sequence based on the period, obtain a subsequence containing a time period label, and display the subsequence; The selection information input by the user is received, and the subsequence is read according to the selection information as the interception result.

3. The method for intelligent monitoring and early warning of electric power information communication status according to claim 1 is characterized in that: The step of determining the transmission characteristics of each power device according to the intercepted data transmission diagram comprises: Calculate the mean of each data area in the data transmission diagram according to a preset numerical calculation formula to obtain a mean matrix; Calculating the change rate of each element in the adjacent mean matrix in turn, and clustering each element in the mean matrix according to the change rate; Obtaining data areas corresponding to similar elements in the data transmission diagram, inputting the obtained data areas into a preset feature extraction model, and obtaining transmission characteristics of the power equipment; The transmission feature is a range matrix, and the elements in the range matrix are numerical ranges.

4. The method for intelligent monitoring and early warning of electric power information communication status according to claim 1 is characterized in that: The step of identifying the newly generated data transmission graph according to the transmission characteristics and determining whether there is an abnormal device includes: Read the newly generated data transmission graph, and query the target area corresponding to the transmission feature in the newly generated data transmission graph; Calculate the number of abnormal points and their abnormal values ​​in the target area based on the transmission characteristics; the abnormal points are points whose values ​​exceed the numerical range; Input the number of abnormal points and their abnormal values ​​into a preset linear formula to calculate the abnormality score; The abnormal score is compared with a preset abnormal threshold, and when the abnormal score reaches the preset abnormal threshold, the power equipment is marked as an abnormal equipment.

5. The method for intelligent monitoring and early warning of electric power information communication status according to claim 4 is characterized in that: When an abnormal device exists, the steps of querying the operation data of the abnormal device, identifying the operation data, and generating early warning information according to the identification result include: When there is an abnormal device, query the operating data of each module in the abnormal device according to the time; Input the operating data into the trained simulation model, locate the abnormal module and obtain the abnormal cause, and generate warning information; When an error occurs during the operation of the simulation model, the operation data is packaged and sent to the manual detection end, and the recognition data fed back by the manual detection end is received.

6. An intelligent monitoring and early warning system for power information communication conditions, characterized in that: The system comprises: A transmission diagram establishment module is used to periodically obtain the operation data of the power equipment and the electrical connection relationship between each power equipment, and establish a data transmission diagram; A transmission graph interception module is used to arrange the data transmission graph according to time and intercept the arranged data transmission graph according to the period input by the user; A transmission characteristic determination module, used to determine the transmission characteristics of each power device according to the intercepted data transmission diagram; An abnormality determination module, used to identify the newly generated data transmission graph according to the transmission characteristics and determine whether there is an abnormal device; The warning information generation module is used to query the operation data of the abnormal equipment when there is an abnormal equipment, identify the operation data, and generate warning information according to the identification result; Wherein, the operation data is a collection of operation data of each module in the power equipment; The transmission graph establishment module comprises: A size determination unit, used for periodically acquiring the unit energy consumption of each electric device, and determining the size of the data area according to the unit energy consumption; A data point determination unit, used to obtain the electrical connection relationship between various electrical devices, and determine the data point in a preset blank map according to the electrical connection relationship; The data area establishing unit is used to establish the data area in the blank image according to the data points and the data area size. The step of establishing the data area in the blank image according to the data points and the data area size comprises: Create a blank map, and determine the mapping range in the blank map according to the data points and data area size; Query the modules containing data transmission processes in the power equipment, obtain the location information of each module, and divide the mapping range according to the location information; Acquire the operation data of each module, input the operation data into a preset numerical integration model, and obtain a mapping matrix; the number of rows and columns of the mapping matrix is ​​a preset value; Fill the mapping matrix to the corresponding position within the mapping range to obtain a data area; The data area arrangement unit is used to arrange the data areas according to the electrical connection relationship to obtain a data transmission diagram.

7. The intelligent monitoring and early warning system for electric power information communication status according to claim 6 is characterized in that: The transmission graph interception module comprises: A graph sequence generating unit, used for arranging the data transmission graph according to time to obtain a graph sequence; A period clustering unit, used for receiving a period input by a user, clustering the graph sequence based on the period, obtaining a subsequence containing a time period label and displaying the subsequence; The sequence selection unit is used to receive selection information input by a user and read a subsequence according to the selection information as a capture result.

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